有源传感网络中目标跟踪的传感器调度方法

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1.
Media Processing Department, Institute for Infocomm Research, Singapore 119613, SingaporeGraduate School, Chinese Academy of Sciences, Beijing 100049;
2.
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798

Sensor Scheduling for Target Tracking in Networks of Active Sensors

1.
Media Processing Department, Institute for Infocomm Research, Singapore 119613, SingaporeGraduate School, Chinese Academy of Sciences, Beijing 100049School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798

摘要: Wireless sensor network (WSN) of active sensors suffers from serious inter-sensor interference (ISI) and imposes new design and implementation challenges. In this paper, based on the ultrasonic sensor network, two time-division based distributed sensor scheduling schemes are proposed to deal with ISI by scheduling sensors periodically and adaptively respectively. Extended Kalman filter (EKF) is used as the tracking algorithm in distributed manner. Simulation results show that the adaptive sensor scheduling scheme can achieve superior tracking accuracy with faster tracking convergence speed.
- Wireless sensor network /
- sensor scheduling /
- target tracking /
- active sensor
Abstract: Wireless sensor network (WSN) of active sensors suffers from serious inter-sensor interference (ISI) and imposes new design and implementation challenges. In this paper, based on the ultrasonic sensor network, two time-division based distributed sensor scheduling schemes are proposed to deal with ISI by scheduling sensors periodically and adaptively respectively. Extended Kalman filter (EKF) is used as the tracking algorithm in distributed manner. Simulation results show that the adaptive sensor scheduling scheme can achieve superior tracking accuracy with faster tracking convergence speed.
- Wireless sensor network /
- sensor scheduling /
- target tracking /
- active sensor